Create README.md

[glenn-jocher]

copilot:all

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Introduction of the comprehensive Ultralytics Assets repository README.

📊 Key Changes

• 📄 Created a detailed README.md for the new Ultralytics Assets repository.
• 🔗 Added links to Ultralytics social platforms including GitHub, LinkedIn, Twitter, YouTube, TikTok, Instagram, and Discord.
• 👁️ Included a banner image for visual branding.
• 🎨 Provided information about the repository's purpose, including storage of visual assets, pre-trained models, and datasets.
• 🐍 Showcased a simple Python example on how to use a pre-trained YOLOv8n model.
• 📦 Instructions for downloading assets and datasets from the main branch and repository releases.
• 👥 Guidelines on how to contribute to the repository.
• ✉️ Information on getting support and contacting the Ultralytics support team.
• ⚖️ Mentioned the GNU Affero General Public License v3.0 (AGPL-3.0) for the repository.

🎯 Purpose & Impact

• 🎨 Enhances brand recognition and user engagement by providing a central location for Ultralytics visual assets.
• 🔄 Facilitates easier access to pre-trained models and datasets, improving the user experience and accelerating the development process.
• 🚀 Enables developers to quickly bootstrap projects with pre-trained YOLO models, potentially leading to more innovation and creativity in object detection and related fields.
• 💡 Encourages community contributions, fostering a collaborative ecosystem around Ultralytics projects.
• 🛡️ Clarifies legal usage with the inclusion of licensing information, ensuring users are aware of their rights and obligations.